exactly, the someFactor is the error of the next layer calculated with the derivades of the functions (as you would calculate the minimum of a funtion using the derivades). The tricky part is to calculate the derivades, but since auto differentiation we can do a lot of cool stuff.
The differentiation is probably why I wouldn't have bothered to hack it myself. Curious how you/others would tackle it? What do you mean by auto differentiation?
